Data Analyst
Solliciteren
Plaats
Brussel1000
Brussel
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-21Online to:
2026-04-22EUR 15.00 HOUR
Data Analyst
- Eco Engineering Solutions (EES)
- Brussel
- 4 uren geleden
Role Description
We are seeking a Data Analyst / Lead Analyst for a part-time, hybrid role based in Hong Kong SAR, with some flexibility for remote work. The primary responsibilities include analyzing data sets, creating reports, and conducting statistical analyses to inform decision-making. The individual will also collaborate with team members, apply data modeling techniques, and communicate findings effectively to stakeholders. A focus on generating data-driven insights to optimize processes and address environmental or business challenges is essential.
Qualifications
Proficiency in Analytical Skills and Data Analytics to interpret and derive actionable insights from complex data sets.
Strong knowledge of Statistics and Data Modeling to develop accurate models and support data-driven strategies.
Excellent Communication skills to effectively convey data insights and collaborate with team members and stakeholders.
Proficiency in relevant data analysis tools and software, such as Excel, Python, R, or SQL, is considered a plus.
Highly organized, self-motivated, and able to work efficiently in a hybrid work environment.
Experience in environmental consultancy or engineering analytics is an advantage.
Bachelor's degree in Data Science, Statistics, Engineering, Environmental Science, or a related field is preferred.
We are seeking a Data Analyst / Lead Analyst for a part-time, hybrid role based in Hong Kong SAR, with some flexibility for remote work. The primary responsibilities include analyzing data sets, creating reports, and conducting statistical analyses to inform decision-making. The individual will also collaborate with team members, apply data modeling techniques, and communicate findings effectively to stakeholders. A focus on generating data-driven insights to optimize processes and address environmental or business challenges is essential.
Qualifications
Proficiency in Analytical Skills and Data Analytics to interpret and derive actionable insights from complex data sets.
Strong knowledge of Statistics and Data Modeling to develop accurate models and support data-driven strategies.
Excellent Communication skills to effectively convey data insights and collaborate with team members and stakeholders.
Proficiency in relevant data analysis tools and software, such as Excel, Python, R, or SQL, is considered a plus.
Highly organized, self-motivated, and able to work efficiently in a hybrid work environment.
Experience in environmental consultancy or engineering analytics is an advantage.
Bachelor's degree in Data Science, Statistics, Engineering, Environmental Science, or a related field is preferred.
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